Run
1868714

Run 1868714

Task 37 (Supervised Classification) diabetes Uploaded 28-03-2017 by Philipp Probst
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.xgboost(4)Learner mlr.classif.xgboost from package(s) xgboost.
mlr.classif.xgboost(4)_eta0.168746292782425
mlr.classif.xgboost(4)_max_depth3
mlr.classif.xgboost(4)_min_child_weight8.97899091542069
mlr.classif.xgboost(4)_subsample0.348556055803783
mlr.classif.xgboost(4)_colsample_bytree0.856770818121731
mlr.classif.xgboost(4)_colsample_bylevel0.565075712045655
mlr.classif.xgboost(4)_lambda0.0464510814661555
mlr.classif.xgboost(4)_alpha0.00876400280321119
mlr.classif.xgboost(4)_nrounds4591
mlr.classif.xgboost(4)_verbose0
mlr.classif.xgboost(4)_openml.seed1
mlr.classif.xgboost(4)_openml.kindMersenne-Twister
mlr.classif.xgboost(4)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.7528
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6881
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3121
Cross-validation details (10-fold Crossvalidation)
KB relative information score
204.6305
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3243
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4545
Cross-validation details (10-fold Crossvalidation)
Number of instances
768
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.6875
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6888
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9335
Cross-validation details (10-fold Crossvalidation)
Recall
0.6888
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7136
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4766
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4655
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9767
Cross-validation details (10-fold Crossvalidation)